Results 31 to 40 of about 937,465 (286)

Minimizing Rational Functions by Exact Jacobian SDP Relaxation Applicable to Finite Singularities [PDF]

open access: yes, 2012
This paper considers the optimization problem of minimizing a rational function. We reformulate this problem as polynomial optimization by the technique of homogenization. These two problems are shown to be equivalent under some generic conditions.
Guo, Feng, Wang, Li, Zhou, Guangming
core   +1 more source

Optimal Risk Transfer: A Numerical Optimization Approach [PDF]

open access: yesNorth American Actuarial Journal, 2017
Capital efficiency and asset/liability management are part of the Enterprise Risk Management Process of any insurance/reinsurance conglomerate and serve as quantitative methods to fulfill the strategic planning within an insurance organization. A considerable amount of work has been done in this ample research field, but invariably one of the last ...
Asimit, Alexandru V.   +3 more
openaire   +7 more sources

Optimal error estimate for a system of several quasi variational inequalities

open access: yesJournal of Inequalities and Applications
This paper presents and examines a finite element approximation for a system of multiple quasi-variational inequalities. We analyze these inequalities, including terms for sources and obstacles that depend on the solution itself.
Salsabile Loudjani   +2 more
doaj   +1 more source

Hierarchy Strengthened Grey Wolf Optimizer for Numerical Optimization and Feature Selection

open access: yesIEEE Access, 2019
Grey wolf optimizer (GWO) is an efficient swarm intelligence algorithm for kinds of optimization problems. However, GWO tends to be trapped in local optimum when solving large-scale problems.
Qiang Tu, Xuechen Chen, Xingcheng Liu
doaj   +1 more source

Di-DE: Depth Information-Based Differential Evolution With Adaptive Parameter Control for Numerical Optimization

open access: yesIEEE Access, 2020
Differential Evolution (DE) is a simple and effective stochastic algorithm for optimization problems, and it became much more popular in recent year because of its easy-implementation and excellent performance.
Zhenyu Meng   +3 more
doaj   +1 more source

Numerical optimization for Artificial Retina Algorithm

open access: yes, 2017
High-energy physics experiments rely on reconstruction of the trajectories of particles produced at the interaction point. This is a challenging task, especially in the high track multiplicity environment generated by p-p collisions at the LHC energies ...
Belous, Mikhail   +3 more
core   +1 more source

Optimal decentralized spectral resource allocation for OFDMA downlink of femto networks via adaptive gradient vector step size approach [PDF]

open access: yes, 2011
For the orthogonal frequency division multiple access (OFDMA) downlink of a femto network, the resource allocation scheme would aim to maximize the area spectral efficiency (ASE) subject to constraints on the radio resources per transmission interval ...
Benmesbah, Lamia   +4 more
core   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges   +12 more
wiley   +1 more source

Three-Dimensional Microwave Imaging: Fast and Accurate Computations with Block Resolution Algorithms

open access: yesSensors, 2020
This paper considers the microwave imaging reconstruction problem, based on additive penalization and gradient-based optimization. Each evaluation of the cost function and of its gradient requires the resolution of as many high-dimensional linear systems
Corentin Friedrich   +3 more
doaj   +1 more source

Evolutionary multi-stage financial scenario tree generation

open access: yes, 2010
Multi-stage financial decision optimization under uncertainty depends on a careful numerical approximation of the underlying stochastic process, which describes the future returns of the selected assets or asset categories.
A. Brabazon   +16 more
core   +1 more source

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